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Mario Mulansky
Mario Mulansky
PostDoc, Institute for Complex Systems, CNR, Florence, Italy
Bestätigte E-Mail-Adresse bei isc.cnr.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Odeint-solving ordinary differential equations in c++
K Ahnert, M Mulansky
arXiv preprint arXiv:1110.3397, 2011
2902011
Dynamical thermalization of disordered nonlinear lattices
M Mulansky, K Ahnert, A Pikovsky, DL Shepelyansky
Physical Review E 80 (5), 056212, 2009
732009
SPIKY: a graphical user interface for monitoring spike train synchrony
T Kreuz, M Mulansky, N Bozanic
Journal of neurophysiology 113 (9), 3432-3445, 2015
702015
Strong and weak chaos in weakly nonintegrable many-body Hamiltonian systems
M Mulansky, K Ahnert, A Pikovsky, DL Shepelyansky
Journal of Statistical Physics 145, 1256-1274, 2011
572011
Spreading in disordered lattices with different nonlinearities
M Mulansky, A Pikovsky
Europhysics Letters 90 (1), 10015, 2010
552010
PySpike—A Python library for analyzing spike train synchrony
M Mulansky, T Kreuz
SoftwareX 5, 183-189, 2016
542016
Energy spreading in strongly nonlinear disordered lattices
M Mulansky, A Pikovsky
New Journal of Physics 15 (5), 053015, 2013
522013
Scaling of energy spreading in strongly nonlinear disordered lattices
M Mulansky, K Ahnert, A Pikovsky
Physical Review E 83 (2), 026205, 2011
452011
Measures of spike train synchrony for data with multiple time scales
E Satuvuori, M Mulansky, N Bozanic, I Malvestio, F Zeldenrust, K Lenk, ...
Journal of neuroscience methods 287, 25-38, 2017
332017
Solving ordinary differential equations on GPUs
K Ahnert, D Demidov, M Mulansky
Numerical Computations with GPUs, 125-157, 2014
322014
A guide to time-resolved and parameter-free measures of spike train synchrony
M Mulansky, N Bozanic, A Sburlea, T Kreuz
2015 International Conference on Event-based Control, Communication, and …, 2015
302015
Leaders and followers: Quantifying consistency in spatio-temporal propagation patterns
T Kreuz, E Satuvuori, M Pofahl, M Mulansky
New Journal of Physics 19 (4), 043028, 2017
272017
Scaling properties of energy spreading in nonlinear Hamiltonian two-dimensional lattices
M Mulansky, A Pikovsky
Physical Review E 86 (5), 056214, 2012
192012
Localization properties of nonlinear disordered lattices
M Mulansky
Universität Potsdam, 2009
152009
Using spike train distances to identify the most discriminative neuronal subpopulation
E Satuvuori, M Mulansky, A Daffertshofer, T Kreuz
Journal of neuroscience methods 308, 354-365, 2018
102018
Metaprogramming applied to numerical problems
M Mulansky, K Ahnert
arXiv preprint arXiv:1110.3233, 2011
82011
SPIKE-Synchronization: a parameter-free and time-resolved coincidence detector with an intuitive multivariate extension
T Kreuz, N Bozanic, M Mulansky
BMC Neuroscience 16 (Suppl 1), P170, 2015
72015
Odeint library
M Mulansky, K Ahnert
Scholarpedia 9 (12), 32342, 2014
72014
Re-localization due to finite response times in a nonlinear Anderson chain
M Mulansky, AS Pikovsky
The European Physical Journal B 85, 1-3, 2012
72012
Scaling of chaos in strongly nonlinear lattices
M Mulansky
Chaos: An Interdisciplinary Journal of Nonlinear Science 24 (2), 2014
62014
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